where it might rain tomorrow on the farm, and more importantly, how that would affect the operations. so when i talk to farmers, one of the things that they tell me is a big challenge, especially in the drought-stricken season, is irrigation. they want to be much more efficient at using water, and they want to schedule that ahead of time. that's dependent on where and when it will rain tomorrow - the temperature, the humidity. the idea is that we not only predict the weather, but we can predict the schedule of the irrigation, where and when the water would need to be applied. > > is this being rolled out now, being put into use? > > well, we've actually started in other applications, so it is being used operationally by electric utilities to predict outages and restoration efforts. we're using it in... there are cities, like rio de janeiro, that use it to predict the forecast and big floods, the impact of mudslides on citizens. we're now applying that technology and bringing it to the farm. > > lloyd treinish from ibm. thank you so much. > > thank you.